G Lotti

91 total papers · 842 total citations
49 papers, 635 citations indexed

About

G Lotti is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, G Lotti has authored 49 papers receiving a total of 635 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Endocrinology, Diabetes and Metabolism, 11 papers in Molecular Biology and 10 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in G Lotti's work include Receptor Mechanisms and Signaling (8 papers), Pituitary Gland Disorders and Treatments (6 papers) and Thyroid Disorders and Treatments (5 papers). G Lotti is often cited by papers focused on Receptor Mechanisms and Signaling (8 papers), Pituitary Gland Disorders and Treatments (6 papers) and Thyroid Disorders and Treatments (5 papers). G Lotti collaborates with scholars based in Italy, United States and Belgium. G Lotti's co-authors include Natale R. Musso, Aldo Pende, Giuseppe Delitala, L Devilla, Francesco Indiveri, Sabrina Brenci, Antonio Masala, S Alagna, Maurizio Setti and Carmen Pizzorni and has published in prestigious journals such as The Lancet, The Journal of Clinical Endocrinology & Metabolism and Biochemical and Biophysical Research Communications.

In The Last Decade

G Lotti

48 papers receiving 593 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
G Lotti	152	144	129	102	69	49	635
Natale R. Musso	68 0.4×	109 0.8×	147 1.1×	103 1.0×	70 1.0×	39	560
Ahmet Çelik	80 0.5×	166 1.2×	102 0.8×	69 0.7×	40 0.6×	48	714
Gabriel Tavares do Vale	84 0.6×	154 1.1×	129 1.0×	52 0.5×	62 0.9×	41	707
Lucas M. Kangussu	98 0.6×	169 1.2×	247 1.9×	89 0.9×	44 0.6×	35	598
David J. Dzielak	118 0.8×	124 0.9×	187 1.4×	93 0.9×	77 1.1×	23	584
Katya B. Rubinow	295 1.9×	170 1.2×	64 0.5×	44 0.4×	71 1.0×	36	752
Laura Ribeiro	89 0.6×	135 0.9×	114 0.9×	76 0.7×	29 0.4×	58	700
Zelin Li	122 0.8×	233 1.6×	51 0.4×	94 0.9×	85 1.2×	64	684
Kristy L. Jackson	145 1.0×	180 1.3×	213 1.7×	36 0.4×	46 0.7×	57	780
Imre Földesi	68 0.4×	146 1.0×	73 0.6×	70 0.7×	70 1.0×	67	687

Countries citing papers authored by G Lotti

Since Specialization

Citations

This map shows the geographic impact of G Lotti's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by G Lotti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G Lotti more than expected).

Fields of papers citing papers by G Lotti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G Lotti. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by G Lotti. The network helps show where G Lotti may publish in the future.

Co-authorship network of co-authors of G Lotti

This figure shows the co-authorship network connecting the top 25 collaborators of G Lotti. A scholar is included among the top collaborators of G Lotti based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with G Lotti. G Lotti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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